A improved dual-threshold speech endpoint detection algorithm

This paper presents an improved dual-threshold speech endpoint detection algorithm based on short-time magnitude increment and short-time zero-crossing rate, which uses the continuous rise of speech short-time magnitude as the first-level decision threshold and short-time zero-crossing rate as the second-level decision threshold. Experimental results show that this algorithm is accurate, easy and reliable in the case of ideal signal to noise ratio(SNR).

[1]  Li Zhi,et al.  Segmentation of speech signal based on the half-wave differential spectrum , 2000 .

[2]  Xu Doling Entropy-based initial/final segmentation for Chinese whiskered speech , 2005 .

[3]  Chung-Ho Yang,et al.  A novel approach to robust speech endpoint detection in car environments , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[4]  A. Nejat Ince,et al.  Digital Speech Processing , 1992 .